Corn yield prediction is big business in the US. Billions of dollars are at stake along the ag supply chain each year as corn starts to come out of the ground in August.

A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor Fernandes, a statistics ...

They created a database of over 20,000 rice field images and developed a convolutional neural network (CNN) model to predict the yield. Results of the study were published July 28 in Volume 5 of ...

Researchers are using the Blue Waters supercomputer to create better tools for long-Term crop prediction. NCSA Professor Kaiyu Guan and NCSA postdoc fellow, Bin Peng have implemented and evaluated a ...

Vitor A. Ozaki, Sujit K. Ghosh, Barry K. Goodwin, Ricardo Shirota, Spatio-Temporal Modeling of Agricultural Yield Data with an Application to Pricing Crop Insurance Contracts, American Journal of ...

Improved model could help scientists better predict crop yield, climate change effects. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 07 / 190709110224.htm ...